Floating Power Route Planning for Forecast-Driven Energy Pickup
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Solution Overview
Problem
Existing route planning systems for power-generating floating bodies do not consider weather and sea conditions, leading to inefficiencies in energy collection by transport ships.
Innovation Solution
A route planning system that adjusts the number of laps, turning points, and meeting times based on weather and sea condition forecast accuracy to optimize energy collection by power-generating floating bodies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the floating body circulates a fixed route regardless of forecast accuracy, then the route planning is simple, but the energy collection efficiency deteriorates due to weather and sea condition variations
Solution Approach 1:
The route planning system dynamically adjusts the number of laps based on forecast accuracy levels. When forecast accuracy is high, the floating body performs more laps to maximize energy collection. When forecast accuracy is low, the system reduces laps to avoid inefficiency from unexpected weather changes. This dynamic adjustment resolves the contradiction by making the route planning adaptive rather than fixed.
Solution Approach 2:
The system changes the parameter of lap count based on forecast accuracy conditions. By varying this key parameter according to environmental conditions and forecast reliability, the system optimizes energy collection efficiency without requiring completely different route planning systems for each scenario.
2Productivity
If the number of laps is increased to maximize energy collection, then energy collection efficiency improves, but the risk of missing optimal meeting points increases due to forecast inaccuracies
Solution Approach 1:
The system uses forecast accuracy as feedback to determine the optimal number of laps. By continuously monitoring forecast reliability and adjusting lap count accordingly, the system ensures that energy collection is maximized only when conditions are favorable, thereby maintaining both productivity and meeting point reliability.
Solution Approach 2:
The lap count is dynamically adjusted based on real-time assessment of forecast accuracy. This dynamic approach allows the system to increase laps when reliability is high and reduce them when reliability is low, resolving the contradiction between maximizing energy collection and ensuring reliable meeting points.
3Productivity
If the route is adjusted frequently based on weather forecasts, then energy collection efficiency improves, but the operational complexity increases
Solution Approach 1:
The system applies different levels of route adjustment based on local conditions - specifically forecast accuracy. Rather than uniformly adjusting the entire route plan, it modifies only the lap count parameter based on forecast reliability, thereby improving operational efficiency without excessive complexity.
Solution Approach 2:
The system changes only the necessary parameter (lap count) based on forecast conditions, rather than redesigning the entire route. This selective parameter adjustment improves operational efficiency while keeping the overall system relatively simple.
Data Source
AI summary
A route planning system is a route planning system for planning a route for a power-generating floating body that generates electricity while sailing on the sea. The route planning system comprises a planner configured to plan a route for the power-generating floating body circulating between a meeting point, at which a transport ship collecting energy from the power-generating floating body, meets the power-generating floating body and a turning point different from the meeting point as the route. The planner changes number of laps the power generation floating body circulates the route before meeting with the transport ship on the basis of at least one of weather forecasts accuracy and sea condition forecasts accuracy.